Julian O. Matschinske

According to our database1, Julian O. Matschinske authored at least 9 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Bioinform., October, 2022

Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores.
J. Integr. Bioinform., 2022

Federated Random Forests can improve local performance of predictive models for various healthcare applications.
Bioinform., 2022

2021
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning.
CoRR, 2021

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond.
CoRR, 2021

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform., 2021

2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine.
CoRR, 2020

2019
Query-Driven Data Minimization with the DataEconomist.
Proceedings of the Advances in Database Technology, 2019

2018
Towards Query-Driven Data Minimization.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018


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